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Xionghongkai

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Organization: School of Information and Electronic Engineering

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About

  • Department: School of Information and Electronic Engineering
  • Gender: male
  • Post: Distinguished Professor
  • Graduate School: Shanghai Jiao Tong University
  • Degree: Ph.D
  • Academic Credentials: Ph.D
  • Tel:
  • Email: hkxiong@cee.ecnu.edu.cn
  • Office: Information Building 319
  • Address: East China Normal University, No. 500, Dongchuan Road, Shanghai 200241
  • PostCode: 200241
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Education

WorkExperience

2025-present            East China Normal University            Distinguished Professor

2015-present            Shanghai Jiao Tong University            Distinguished Professor

2011-present            Shanghai Jiao Tong University            Professor

2005-2011                Shanghai Jiao Tong University            Associate Professor

2003-2005                Shanghai Jiao Tong University            Assistant Professor

2007-2008                Carnegie Mellon University                Researcher

2011-2012                University of California, San Diego       Scientist

Resume

Prof. Hongkai XIONG is a Fellow of the IEEE / AAIA / CCF / CIE / CAAI. He is a Cheung Kong Professor. In 2017, he received the Science and Technology Innovative Leader Talent Award. In 2014, he received National Science Fund for Distinguished Young Scholar Award from Natural Science Foundation of China (NSFC). He is a Distinguished Professor at both Shanghai Jiao Tong University (SJTU) and East China Normal University (ECNU). Currently, he acts as the Dean of the School of Information and Electronic Engineering in East China Normal University (ECNU). From 2018-2020, he was the Vice Dean of Zhiyuan College in SJTU.

 

Dr. Xiong’s research interests include signal representation and wavelet analysis, image and video coding, multimedia communication and networking, computer vision, and machine learning. He received the Ph.D. degree from Shanghai Jiao Tong University (SJTU), Shanghai, China, in 2003. Since then, he has been with the Department of Electronic Engineering, SJTU. From 2007 to 2008, he was a Research Scholar in the Department of Electrical and Computer Engineering, Carnegie Mellon University (CMU), Pittsburgh, PA, USA. During 2011-2012, he was a Scientist with the Division of Biomedical Informatics at the University of California (UCSD), San Diego, CA, USA. He published over 390 refereed journal and conference papers. He was the co-author of the TOP 1% Paper Award of the 2022 ACM International Conference on Multimedia (ACM Multimedia’22), the Top 5% Award at the 2024 IEEE International Conference on Image Processing (IEEE ICIP’24), etc. From 2018-2021, he was the Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).


Other Appointments

Research Fields

Mathematical foundations and algorithmic aspects of high-dimensional signal and information representation, harmonic analysis, high-dimensional signal coding, imaging and processing.

-       Video coding, scalable video coding, sub-band coding, sparse coding, end-to-end optimized image and video compression

-        Multimedia communication, video streaming, progressive video multicasting;

-        Multi-scale analysis, wavelet analysis, sparse representation, compressive sampling

-        Graph signal processing, Graph Neural Networks

-   Interpretable artificial intelligence, reversible auto-encoder, machine learning and computer vision, video tracking and segmentation


Enrollment and Training

Course

Scientific

Academic Achievements

1.   Mingxing Xu, Chenglin Li, Wenrui Dai, Siheng Chen, Junni Zou, Pascal Frossard, Hongkai Xiong, “Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 48, no. 1, pp. 251-269, Jan. 2026.

2.     Wen Fei, Wenrui Dai, Liang Zhang, Luoming Zhang, Chenglin Li, Junni Zou, Hongkai Xiong, “Latent Weight Quantization for Integerized Training of Deep Neural Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 4, pp. 2816-2832, Apr. 2025.

3.   Hao Zhang, Chenglin Li, Wenrui Dai, Ziyang Zheng, Junni Zou, Hongkai Xiong, “Stabilizing and Accelerating Federated Learning on Heterogeneous Data with Partial Client Participation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 1, pp. 67-83, Jan. 2025.

4.    Siyu Ren, Junhui Hou, Xiaodong Chen, Hongkai Xiong, Wenping Wang, “DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 8, pp. 6631-6646, Aug. 2025.

5.    Jin Li, Yaoming Wang, Xiaopeng Zhang, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian, “Contrastive Learning via Variational Information Bottleneck”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 9, pp. 7410-7427, Sep. 2025.

6.     Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong, “Source-Free Domain Adaptation with Domain Generalized Pretraining for Face Anti-Spoofing”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 8, pp. 5430-5448, Aug. 2024.

7.   Yang You, Wenhao He, Jin Liu, Hongkai Xiong, Weiming Wang, Cewu Lu, “CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 12, pp. 9239-9254, Dec. 2024.

8.  Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Variance Reduced Domain Randomization for Reinforcement Learning with Policy Gradient”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 2, pp. 1031-1048, Feb. 2024.

9.    Xin Li, Wenrui Dai*, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong, “3-D Point Cloud Attribute Compression with p-Laplacian Embedding Graph Dictionary Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 2, pp. 975-993, Feb. 2024.

10.   Jing Jin, Mantang Guo, Hui Liu, Junhui Hou, Hongkai Xiong, “Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 10, pp. 12050-12067, Oct. 2023.

11.  Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan Yuille, “BNET: Batch Normalization with Enhanced Linear Transformation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 9225-9232, July 2023.

12. Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong, “Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 3226-3244, Mar. 2023.

13.  Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Wenrui Dai, Hongkai Xiong, Qi Tian, “Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 3753-3767, Mar. 2023.

14. Haohang Xu, Hongkai Xiong, Guo-Jun Qi, “K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 11, pp.8694-8700, Nov. 2022.

15.  Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, Qi Tian, “Partially-Connected Neural Architecture Search for Reduced Computational Redundancy”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 9, pp. 2953-2970, Sep. 2021.

16.  Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, and Xing Lin, “Dual adaptive training of photonic neural networks”, Nature Machine Intelligence, vol. 5, pp. 1119-1129, Oct. 2023.

17.  Tao Yan, Rui Yang, Ziyang Zheng, Xing Lin, Hongkai Xiong, Qionghai Dai, “All-optical graph representation learning using integrated diffractive photonic computing units”, Science Advances, Sci. Adv., 8 (24), eabn7630, June 2022.

18.  Junxiang Chen, Jin Li, Chunxi Zhang, Xinxin Zhi, Lei Wang, Quncheng Zhang, Pengfei Yu, Fei Tang, Xiankui Zha, Limin Wang, Wenrui Dai, Hongkai Xiong, Jiayuan Sun, “Deep learning for detection and diagnosis of intrathoracic lymphadenopathy from endobronchial ultrasound multimodal videos: a multi-center study”, Cell Reports Medicine, 6, 102243, Aug. 2025.

19.  Shiyu Liu, Wenrui Dai, Shaohui Li, Ziyang Zheng, Junni Zou, Hongkai Xiong, “Stable Representation Learning via Generalized Learnable Graph Scattering Transform”, IEEE Transactions on Signal Processing (TSP), 2026.

20. Ziyang Zheng, Wenrui Dai, Jingwei Liang, Xinyu Peng, Duoduo Xue, Hongkai Xiong, “Deep Equilibrium Model with Weighted Densely-Connected Iteration Differences for Convergent Image Restoration”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2026.

21.  Yaoming Wang, Yuchen Liu, Wenrui Dai, Xiaopeng Zhang, Han Li, Chenglin Li, Junni Zou, Qi Tian, Hongkai Xiong, Vision-Language Efficient Tuning for Mitigating Catastrophic Forgetting in Multi-Modal Learning, International Journal of Computer Vision (IJCV), 2025.

22.   Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guojun Qi, Nicu Sebe, “HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events”, International Journal of Computer Vision (IJCV), vol. 131, pages 2994-3018, Jul. 2023.

23.   Duoduo Xue, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Generalized Quantum State Tomography with Hybrid Denoising Priors”, IEEE Transactions on Signal Processing (TSP), vol. 73, pp. 1532-1548, Feb. 2025.

24. Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Ying Chen, Hongkai Xiong, “End-to-End Optimized Image Compression with Deep Gaussian Process Regression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 4, pp. 3770-3785, Apr. 2025.

25.  Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Wenrui Dai, Junni Zou, Hongkai Xiong, “MENSA: Multi-Dataset Harmonized Pretraining for Semantic Segmentation”, IEEE Transactions on Multimedia (TMM), vol. 27, pp. 2127-2140, Apr. 2025.

26.  Nuowen Kan, Sa Yan, Junni Zou, Wenrui Dai, Xing Gao, Chenglin Li, Hongkai Xiong, “GDPlan: Generative Network Planning via Graph Diffusion Model”, IEEE/ACM Transactions on Networking (TON), vol. 33, no. 4, pp. 1422-1437, Aug. 2025.

27.  Shaohui Li, Wenrui Dai, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong, “Learnable Non-uniform Quantization with Sampling-based Optimization for Variable-Rate Learned Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 8, pp. 8314-8329, Aug. 2025.

28.  Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Federated Learning Based on Model Discrepancy and Variance Reduction”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 36, no. 6, pp. 10407-10421, June 2025.

29. Shaohui Li, Shuoyu Ma, Wenrui Dai, Nuowen Kan, Fan Cheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 5, pp. 4768-4783, May 2025.

30.   Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Weisheng Hu, Hongkai Xiong, “Generative Probabilistic Entropy Modeling with Conditional Diffusion for Learned Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.

31.   Nuowen Kan, Chenglin Li, Yuankun Jiang, Wenrui Dai, Junni Zou, Hongkai Xiong, “MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.

32. Xin Li, Shaohui Li, Wenrui Dai, Han Li, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong, “Point Cloud Attribute Compression with Geometry-Aware Lifting-Based Multiscale Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.

33.   Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks”, IEEE Transactions on Signal Processing (TSP), vol. 72, pp. 2827-2841, June 2024.

34. Qin Yang, Wenxuan Gao, Chenglin Li, Hao Wang, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard, “360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 10, pp. 9979-9996, Oct. 2024.

35.  Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “NCGNN: Node-level Capsule Graph Neural Network for Semi-supervised Classification”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 1, pp. 1025-1039, Jan. 2024.

36.   Qin Yang, Yuqi Li, Chenglin Li, Hao Wang, Sa Yan, Li Wei, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard, “SVGC-AVA: 360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention”, IEEE Transactions on Multimedia (TMM), vol. 26, pp. 3061-3076, 2024.

37.  Kexin Tang, Nuowen Kan, Yuankun, Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation with Heterogeneous QoE Preferences”, IEEE Transactions on Multimedia (TMM), vol. 26, pp. 5340-5357, 2024.

38. Shaohui Li, Wenrui Dai, Yimian Fang, Ziyang Zheng, Wen Fei, Hongkai Xiong, Wei Zhang, “Revisiting Learned Image Compression with Statistical Measurement of Latent Representations”, IEEE Trans. Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 4, pp. 2891-2907, Apr. 2024.

39.  Yuehan Xiong, Wenrui Dai, Wen Fei, Shaohui Li, Hongkai Xiong, “Anisotropic Spherical Scattering Networks via Directional Spin Wavelet”, IEEE Transactions on Signal Processing (TSP), vol. 71, pp. 2981-2996, Aug. 2023.

40. Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong, “Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning”, IEEE Transactions on Signal Processing (TSP), vol. 71, pp. 1023-1038, Feb. 2023.

41. Lisha Wang, Chenglin Li, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, “QoE-Driven Adaptive Streaming for Point Clouds”, IEEE Transactions on Multimedia (TMM), vol. 25, pp. 2543-2558, 2023.

42. Yuchen Zhang, Wenrui Dai, Yong Li, Chenglin Li, Junhui Hou, Junni Zou, Hongkai Xiong, “Light Field Compression with Graph Learning and Dictionary-Guided Sparse Coding”, IEEE Transactions on Multimedia (TMM), vol. 25, pp. 3059-3072, 2023.

43.   Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Tackling Over-smoothing in Graph Convolutional Networks with EM-based Joint Topology Optimization and Node Classification”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 9, pp. 123-139, Feb. 2023.

44.  Shaohui Li, Han Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Learned Progressive Image Compression with Dead-Zone Quantizers”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 33, no. 6, pp. 2962-2978, 2023.

45.   Duoduo Xue, Ziyang Zheng, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “On the Convergence of Non-Convex Phase Retrieval with Denoising Priors”, IEEE Transactions on Signal Processing (TSP), vol. 70, pp. 4424-4439, Sep. 2022.

46. Wen Fei, Wenrui Dai*, Chenglin Li, Junni Zou, Hongkai Xiong, “General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 10, pp. 5253-5267, Oct. 2022.

47.  Xing Gao, Wenrui Dai*, Chenglin Li, Hongkai Xiong, Pascal Frossard, “iPool-Information-based Pooling in Hierarchical Graph Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 9, pp. 5032-5044, Sep. 2022.

48. Nuowen Kan, Junni Zou, Chenglin Li*, Wenrui Dai, Hongkai Xiong, “RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-degree Video Streaming with Adaptive Prediction and Tiling”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 3, pp. 1607-1623, Mar. 2022.

49. Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado, “VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers”, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 34, no. 2, pp. 996-1010, Feb. 2022.

50.  Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard, “Graph Neural Networks With Lifting-based Adaptive Graph Wavelets”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 8, pp. 63-77, Jan. 2022.

51.  Shaohui Li, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction”, IEEE Transactions on Signal Processing (TSP), vol. 69, pp. 3117-3131, June 2021.

52.  Yangmei Shen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 7, pp. 595-610, Sep. 2021.

53.   Yangmei Shen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Multi-Scale Structured Dictionary Learning for 3D Point Cloud Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 7, pp. 2792-2807, Jul. 2021.

54. Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong, “Multi-user Adaptive Video Delivery over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 2, pp. 798-815, Feb. 2021.

55. Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei, “Group Reidentification with Multigrained Matching and Integration”, IEEE Transactions on Cybernetics, vol. 51, no. 3, pp. 1478-1492, Mar. 2021.

56. Xing Gao, Wenrui Dai*, Chenglin Li, Hongkai Xiong, Pascal Frossard, “Multiscale Representation Learning of Graph Data with Node Affinity”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 7, pp. 30-44, Jan. 2021.

57.   Junni Zou, Chenglin Li, Chengming Liu, Qin Yang, Hongkai Xiong, Eckehard Steinbach, “Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 14, no. 1, pp. 161-176, Jan. 2020.

58.  Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng, “PML-LocNet: Improving Object Localization with Prior induced Multi-view Learning Network”, IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 2568-2582, Jan. 2020.

59.  Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong, “Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes”, IEEE Transactions on Communications (TCOM), vol. 68, no. 4, pp. 2090-2105, Apr. 2020.

60.   Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong, “Iterative Deep Neural Network Quantization with Lipschitz Constraint”, IEEE Transactions on Multimedia (TMM), vol. 22, no. 7, pp. 1874-1888, July 2020.

61.  Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Yuan F. Zheng, “Scalable Structured Compressive Video Sampling with Hierarchical Subspace Learning”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 10, pp. 3528-3543, Oct. 2020.

62.   Weiyao Lin, Xiaoyi He, Xintong Han, Dong Liu, John See, Junni Zou, Hongkai Xiong, Feng Wu, “Partition-Aware Adaptive Switching Networks for Post-Processing in HEVC”, IEEE Transactions on Multimedia (TMM), vol. 22, no. 11, pp. 2749-2763, Nov. 2020.

63.   Yuchen Zhang, Wenrui Dai, Mingxing Xu, Junni Zou, Xiaopeng Zhang, Hongkai Xiong, “Depth Estimation from Light Field Using Graph-Based Structure-Aware Analysis”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 11, pp. 4269-4283, Nov. 2020.

64.  Junni Zou, Chenglin Li, Congcong Zhai, Hongkai Xiong, Eckehard Steinbach, “Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach”, IEEE Journal on Selected Areas in Communications (JSAC), vol. 37, no. 7, pp. 1566-1583, July 2019.

65.  Junni Zou, Liwan Huang, Xiaofeng Gao, Hongkai Xiong, “Joint Pricing and Decision-Making for Heterogeneous User Demand in Cognitive Radio Networks”, IEEE Transactions on Cybernetics, vol. 49, no. 11, pp. 3873-3886, Nov. 2019.

66.   Xiaopeng Zhang, Hongkai Xiong, W. Lin, Q. Tian, “Weak to Strong Detector Learning for Simultaneous Classification and Localization”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 2, pp. 418-432, Feb. 2019.

67.   Botao Wang; Junni Zou, Yong Li, Kuanyu Ju, Hongkai Xiong; Y. F. Zheng, “Sparse-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 1, pp. 68-79, Jan. 2019.

68. Guangcan Liu, Yubao Sun, Zhao Zhang, Qingshan Liu, Meng Wang, Hongkai Xiong, “Robust Subspace Clustering with Compressed Data”, IEEE Transactions on Image Processing (TIP), vol. 28, no. 10, pp. 5161-5169, Oct. 2019.

69.  Wenrui Dai, Yong Li, Junni Zou, Hongkai Xiong, Yuan F. Zheng, “Fully Decomposable Compressive Sampling with Joint Optimization for Multidimensional Sparse Representation”, IEEE Transactions on Signal Processing (TSP), vol. 66, no. 3, pp. 603-616, Feb. 2018.

70.   Chenglin Li, Hongkai Xiong, Junni Zou, Dapeng Wu, “Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast over Wireless Networks”, IEEE Transactions on Multimedia (TMM), vol. 20, no. 2, pp. 361-378, Feb. 2018.

71.   Chenglin Li, Toni Laura, Junni Zou, Hongkai Xiong, Frossard Pascal, “Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 7, pp. 1648-1664, July 2018.

72.  Chenglin Li, Laura Toni, Junni Zou, Hongkai Xiong, Pascal Frossard, “QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming”, IEEE Transactions on Multimedia (TMM), vol. 20, no. 4, pp. 965-984, Apr. 2018.

73.   Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Y. F. Zheng, “Structured Sparse Representation with Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling”, IEEE Transactions on Signal Processing (TSP), vol. 65, no. 19, pp. 5062-5077, Oct. 2017.

74.   Xiaopeng Zhang, Hongkai Xiong, W. Zhou, W. Lin, Q. Tian, “Picking Neural Activations for Fine-grained Recognition”, IEEE Transactions on Multimedia (TMM), vol. 19, no. 12, pp. 2736-2750, Dec. 2017.

75.   Wenrui Dai, Yangmei Shen, Hongkai Xiong, Xiaoqian Jiang, Junni Zou, David Taubman, “Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding”, IEEE Transactions on Image Processing (TIP), vol. 26, no. 6, pp. 2972-2987, June 2017.

76.   Botao Wang; Zhihui Fu; Hongkai Xiong; Y. F. Zheng, “Transductive Video Segmentation on Tree-Structured Model”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 27, no. 5, pp. 922-1005, May 2017.

77.   Chuan Wang, Hua Zhang, Liang Yang, Xiaochun Cao, Hongkai Xiong, “Multiple Semantic Matching on Augmented N-partite Graph for Object Co-segmentation”, IEEE Transactions on Image Processing (TIP), vol. 26, no. 12, pp. 5825-5839, Dec. 2017.

78.   Botao Wang, Hongkai Xiong, Weiyao Lin, Junni Zou, Yuan F. Zheng, Multitask Learning of Compact Semantic Codebooks for Context-aware Scene Modeling, IEEE Transactions on Image Processing (TIP), vol. 25, no. 11, pp. 5411-5426, Nov. 2016.

79.   Wenrui Dai, Yangmei Shen, Xin Tang, Junni Zou, Hongkai Xiong, C. W. Chen, Sparse Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding , IEEE Transactions on Image Processing (TIP), vol. 25, no. 10, pp. 4580-4595, Oct. 2016.

80.   Botao Wang, D. Lin, Hongkai Xiong, Y. F. Zheng, “Joint Inference of Objects and Scenes with Efficient Learning of Text-Object-Scene Relations”, IEEE Transactions on Multimedia (TMM), vol. 18, no. 3, pp. 507-520, Mar. 2016.

81.   Xiaopeng Zhang, Hongkai Xiong, W. Zhou, Q. Tian, “Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization”, IEEE Transactions on Image Processing (TIP), vol. 25, no. 2, pp. 878-891, Feb. 2016.

82. Wenrui Dai, Hongkai Xiong, J. Wang, S. Cheng, Y. F. Zheng, “Generalized Context Modeling with Multi-Directional Structuring and MDL-based Model Selection for Heterogeneous Data Compression”, IEEE Transactions on Signal Processing (TSP), vol. 63, no. 2, November 1, pp. 5650-5664, Nov. 2015.

83.   Junni Zou, Q. Wu, Hongkai Xiong, C. W. Chen, Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks, IEEE Transactions on Signal Processing (TSP), vol. 63, no. 2, pp. 5650-5664, Nov. 2015.

84. Chenglin Li, Hongkai Xiong, Dapeng Wu, “Delay-Rate-Distortion Optimized Rate Control for End-to-end Video Communication over Wireless Channels”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 25, no. 10, pp. 1665-1681, Oct. 2015.

85.   Botao Wang, Hongkai Xiong, Jiang X, Y. F. Zheng, Data-driven Hierarchical Structure Kernel for Multiscale Part Based Object Recognition, IEEE Transactions on Image Processing (TIP), vol. 23, no. 4, pp. 1765-1778, Apr. 2014.

86.  Wenrui Dai, Hongkai Xiong, Jia Wang, Y. F. Zheng. “Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 2, pp. 541-554, Feb. 2014.

87.  Chenglin Li, Dapeng Wu, Hongkai Xiong, “Delay-Power-Rate-Distortion Model for Wireless Video Communication Under Delay and Energy Constraints”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 7, pp. 1170-1183, July 2014.

88.   Junni Zou, Q. Wu, Hongkai Xiong, C. W. Chen, “Joint Spectrum and Power Auction with Multiauctioneer and Multibidder in Coded Cooperative Cognitive Radio Networks”, IEEE Transactions on Wireless Communications (TWC), vol. 13, no. 10, pp. 5768-5780, Oct. 2014.

89.  Wenrui Dai, Hongkai Xiong, X. Jiang, C. W. Chen, “Structured Set Intra Prediction with Discriminative Learning in Max-Margin Markov Network for High Efficiency Video Coding”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 11, pp. 1941-1956, Nov. 2013.

90. Hongkai Xiong, Zhiming Pan, Xinwei Ye, Chang Wen Chen, “Sparse Spatio-Temporal Representation with Adaptive Regularized Dictionary Learning for Low Bit-Rate Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 4, pp. 710-728, Apr. 2013.

91.   Hongkai Xiong, Zheng D, Zhu Q, Wang B, Zheng Y. F. “A Structured Learning-Based Graph Matching Method For Tracking Dynamic Multiple Objects,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 3, pp. 534-548, Mar. 2013.

92. Chenglin Li, Hongkai Xiong, Junni Zou, C. W. Chen, “Distributed Robust Optimization for Scalable Video Multi-Rate Multicast over Wireless Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 22, no. 6, pp. 943-957, Jun. 2012.

93. Hongkai Xiong, L. Zhu, Nannan Ma, Y. Zheng, “Scalable Video Compression Framework with Adaptive Orientational Multiresolution Transform and Nonuniform Directional Filterbank Design”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1085-1099, Aug. 2011.

94.  Hongkai Xiong, Yang Xu, Y. Zheng, C. W. Chen, “Priority Belief Propagation based Inpainting Prediction with Tensor Voting Projected Structure in Video Compression,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1115-1129, Aug. 2011.

95.   Yongsheng Zhang, Hongkai Xiong, Zhihai He, S. Yu, C. W. Chen, “Reconstruction for Distributed Video Coding: A Context-Adaptive Markov Random Field Approach”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1100-1114, Aug. 2011.

96. Chenglin Li Hongkai Xiong, Junni Zou, Zhihai He, “Joint Source and Flow Optimization for Scalable Video Multi-rate Multicast over Hybrid Wired/Wireless Coded Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 5, pp. 550-564, May 2011.

97. Y. Zhang, Hongkai Xiong, Z. He, S. Yu, C. W. Chen, An Error Resilient Video Coding Scheme Using Embedded Wyner–Ziv Description With Decoder Side Non-Stationary Distortion Modeling, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 4, pp. 498-512, Apr. 2011.

98.  Junni Zou, Hongkai Xiong, Chenglin Li, Li Song, Zhihai He, T. Chen, “Prioritized Flow Optimization with Multi-Path and Network Coding Based Routing for Scalable Multirate Multicasting,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 3, pp. 259-273, Mar. 2011.

99.  Chenglin Li, Junni Zou, Hongkai Xiong, C. W. Chen, “Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 2, pp. 141-155, Feb. 2011.

100. Zhihai He, Hongkai Xiong, “Transmission Distortion Analysis for Real-Time Video Encoding and Streaming over Wireless Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 16, no. 9, pp. 1051-1062, Sep. 2006.

Honor

2014            NSFC Distinguished Career Award

2016            Cheung Kong Distinguished Professor

2017                National Science and Technology Innovative Leader Award

2024                IEEE. Fellow

2025                AAIA Fellow

2025                CCF Fellow

2025                CAAI Fellow

2023                CIE Fellow